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Adding a new dimension to global urban observations: Inventory of human settlements pattern and urban morphology using VHR SAR data of the TanDEM-X mission

Esch, Thomas and Marconcini, Mattia and Felbier, Andreas and Heldens, Wieke and Roth, Achim (2014) Adding a new dimension to global urban observations: Inventory of human settlements pattern and urban morphology using VHR SAR data of the TanDEM-X mission. In: IEEE Xplore, Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on, pp. 176-179. 3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2014, 11-14 June 2014, Changsha, China. DOI: 10.1109/EORSA.2014.6927873 ISBN 978-1-4799-5757-6

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Abstract

Print Request Permissions The German TanDEM-X mission has collected two global coverages of very high resolution synthetic aperture radar (SAR) X-band data with a spatial resolution of about three meters in the years 2011/2012 and 2012/2013. Such an extraordinary data set provides Earth observation data complementary to the existing global coverages with optical imagery. In this paper we present i) the technique implemented to identify and map human settlements in a so far unique spatial detail of ~12m, and ii) demonstrate the potential to characterize human settlements properties and patterns as well as the urban morphology (e.g., in terms of building height) using the worldwide data available from TanDEM-X mission. The basic approach towards the fully-automatic detection and delineation of built-up areas from TanDEM-X imagery, is presented by describing the corresponding operational processing environment - the Urban Footprint Processor (UFP) - and the resulting geo-information product - the Global Urban Footprint (GUF) mask. Along with this, we introduce a procedure that exploits the information provided by the GUF settlement mask to facilitate an effective spatial and structural characterization of human settlement forms and patterns from the local to the continental scale. Moreover, we also present a novel technique for estimating the building height within the human settlements delineated in the GUF by means of the digital elevation model (DEM) generated in the context of the TanDEM-X mission. The results of the study indicate the high potential of the developed geo-information products to support the analysis of urbanization patterns, the urban-rural continuum, peri-urbanization, spatio-temporal dynamics of settlement development as well as population estimation, vulnerability assessment and global change modeling.

Item URL in elib:https://elib.dlr.de/92463/
Document Type:Conference or Workshop Item (Speech)
Title:Adding a new dimension to global urban observations: Inventory of human settlements pattern and urban morphology using VHR SAR data of the TanDEM-X mission
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.deUNSPECIFIED
Felbier, Andreasandreas.felbier (at) dlr.deUNSPECIFIED
Heldens, WiekeWieke.Heldens (at) dlr.deUNSPECIFIED
Roth, AchimUNSPECIFIEDUNSPECIFIED
Date:June 2014
Journal or Publication Title:IEEE Xplore, Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/EORSA.2014.6927873
Page Range:pp. 176-179
Series Name:Proceedings EORSA 2014
ISBN:978-1-4799-5757-6
Status:Published
Keywords:global urbanization, settlement pattern, urban morphology, building volume, TerraSAR-X/TanDEM-X
Event Title:3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2014
Event Location:Changsha, China
Event Type:international Conference
Event Dates:11-14 June 2014
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Esch, Dr.rer.nat. Thomas
Deposited On:26 Nov 2014 16:06
Last Modified:26 Nov 2014 16:06

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